Dynamics 365 Customer Service
Case management with ownership, SLAs, escalation and knowledge — everything a shared mailbox structurally cannot provide.
A digital-first retail bank, Europe. The bank promised a streamlined, personalised banking experience to nearly two million customers, but needed a cloud CRM that could turn its data into better customer journeys and handle service volume at scale.
The bank promised a streamlined, personalised banking experience to nearly two million customers, but needed a cloud CRM that could turn its data into better customer journeys and handle service volume at scale.
A digital-first bank has no branch network to absorb service failures. Every problem arrives through a channel the bank controls, at volume, and the cost per interaction determines whether the model works at all.
Dynamics 365 Customer Service was implemented with Copilot in Customer Service and Copilot Studio, meeting omnichannel requirements and providing automated assistance across daily service volume.
Forty per cent of processes automated is the figure worth examining. It is high enough to change the economics and low enough to be credible — the remaining sixty per cent are the interactions that genuinely need judgement. Organizations that claim near-total automation are usually counting deflection rather than resolution.
These are the figures exactly as reported in the source. Nothing has been rounded, extrapolated or restated.
Case management with ownership, SLAs, escalation and knowledge — everything a shared mailbox structurally cannot provide.
Conversation summarisation, response drafting and knowledge surfacing inside the agent's flow of work.
Agents built over an organization's own knowledge and processes, published into Teams, a website or a phone line.
The automation-versus-judgement split is the useful frame: decide which interactions should never be automated before deciding which can be.
Where it usually gets harder than expected: At this scale, the quality of the knowledge base determines whether automation helps or harms. An agent drafting from an outdated article produces a confident wrong answer faster than a person would have.
We sit with the people doing the work and watch what actually happens, including every workaround. Process documents and reality are rarely the same thing.
We prototype and show you your own records in it, not a demo company, before anything is built.
By site, by practice group or by service line — with the group that wants it most going first, to a fixed price.
We report against the numbers agreed at the start, including where the result fell short of the target.
If any of the above describes your organization, tell us where it hurts most. We will tell you what the same platforms could realistically do in your environment, what we would measure, and whether we think it is worth doing at all.
Describe the situation in your own words.